Datasets:
Tasks:
Question Answering
Modalities:
Image
Formats:
imagefolder
Languages:
Chinese
Size:
1K - 10K
Tags:
art
License:
File size: 3,393 Bytes
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license: mit
task_categories:
- question-answering
language:
- zh
tags:
- art
pretty_name: msbench
size_categories:
- 1K<n<10K
---
# Dataset Card for MS-Bench
<!-- Provide a quick summary of the dataset. -->
This is the official dataset for MS-Bench: Evaluating LMMs in Ancient ManuScript Study with Dunhuang as Case Study.
Please refer to the GitHub page for more details: https://github.com/ianeong/MS-Bench.
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** Yuqing Zhang, Yue Han, Shuanghe Zhu, Haoxiang Wu, Hangqi Li
- **Funded by:** Zhejiang University
- **Shared by:** Zhejiang University
- **Language(s) (NLP):** Chinese
- **License:** MIT
### Dataset Sources [optional]
<!-- Provide the basic links for the dataset. -->
- **Repository:** https://github.com/ianeong/MS-Bench
- **Paper [optional]:** https://openreview.net/forum?id=mPznBXZSWf
- **Demo [optional]:** https://neurips.cc/virtual/2025/poster/121478 (To Be Updated)
## Uses
<!-- Address questions around how the dataset is intended to be used. -->
### Direct Use
<!-- This section describes suitable use cases for the dataset. -->
Please contact paper authors for dataset direct use.
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
Please refer to paper.
## Dataset Structure
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
We provide each task as a zip file with json annoatation alongside each task.
## Dataset Creation
### Curation Rationale
<!-- Motivation for the creation of this dataset. -->
We detail in paper about dataset curation process, please refer to: https://openreview.net/forum?id=mPznBXZSWf.
### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
We detail in paper about dataset collection and preprocessing.
#### Who are the source data producers?
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
Zhejiang University.
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
Please refer to paper for discusions on limitations.
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
## Citation [optional]
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
To Be Updated.
**APA:**
To Be Updated.
## Dataset Card Authors [optional]
Yuqing Zhang
## Dataset Card Contact
yuqingz7@zju.edu.cn |